The DARPA AlphaDogfight Trials aim to demonstrate the feasibility of developing effective, intelligent autonomous agents capable of defeating adversary aircraft in a dogfight. AlphaDogfight Trials Competition #3 is being broadcast live from the Johns Hopkins University Applied Physics Lab (JHU/APL) via a ZoomGov Webinar on 18-20 August 2020. DARPA’s
Topic: Artificial Intelligence (AI)
Join CSIAC Wednesday, August 12th, at 1100 EDT for our next webinar presentation titled "A Fistful of Data, or the Good, Bad and Ugly of Adversarial Machine Learning." Please register in advance for the webinar at: https://www.anymeeting.com/PIID=EF52D880844A3F This webinar provides an overview of Adversarial Machine Learning (AML), its relationship to
This webinar provides an overview of Adversarial Machine Learning (AML), its relationship to Generative (Deep) Learning, and ways to view AML as a potential enabler for deploying more comprehensive system-level Machine Learning capabilities. The basic ideas driving AML and the system-level architecture needs of an effective integrated ML capability are
Ensuring that technology powered by artificial intelligence will work anywhere requires that AI is "trained" on a diverse data set that readies it for deployment anywhere in the world.
When it comes to advancements in artificial intelligence technology, China does have a lead in some places - like spying on its own people and using facial recognition technology to identify political dissenters. But those are areas where the U.S. simply isn't pointing its investments in artificial intelligence, said director of the Joint Artificial
On May 2, 2011, U.S. Navy special operators carried out a Central Intelligence Agency-led operation to kill or capture Osama bin Laden, the founder of al-Qaida, the group responsible for many terrorist activities, including the 9/11 attacks. The raid on the compound in Abbottabad, Pakistan, owned by OBL, as he was called, was launched from Afghanistan.
If AI is really going to make a difference to patients we need to know how it works when real humans get their hands on it, in real situations.
Artificial intelligence (AI) is evolving-literally. Researchers have created software that borrows concepts from Darwinian evolution, including "survival of the fittest," to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day,
The Defense Department has adopted a series of ethical principles intended to guide the development and use of artificial intelligence on and off the battlefield, including taking "deliberate steps to minimize unintended bias" and ensuring the ability to "deactivate" systems that aren't behaving as expected.
Artificial intelligence (AI) has become the linchpin in a growing number of products, services, and research programs which are aimed at automating and enhancing the human decision-making process. However, there are still several application domains (satellites, wearables, wireless, etc.) that cannot afford the size, weight, and power (SWaP) overheads